| 2026 | WWW | Sumo x PyPSA: Interactive Web Demo of Real-Time Urban Power-Traffic Co-Simulation with Vehicle-to-Grid. | Marouane Benbrahim, Xin Fang, Zhiqian Chen |
| 2026 | WSDM | Uncertainty Quantification for Dynamical Networks. | Zhiqian Chen, Zonghan Zhang |
| 2025 | ACL | Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation. | Zixuan Wang, Jinghao Shi, Hanzhong Liang, Xiang Shen, Vera Wen, Zhiqian Chen, Yifan Wu, Zhixin Zhang, Hongyu Xiong |
| 2025 | ICDM | Deep Gaussian Fusion Network for Traffic Prediction. | Andrew Meng, Zhiqian Chen |
| 2025 | KDD | Network Interdiction Goes Neural. | Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao |
| 2025 | SIGIR | Embedding-based Retrieval in Multi-Modal Content Moderation. | Hanzhong Liang, Jinghao Shi, Xiang Shen, Zixuan Wang, Vera Wen, Ardalan Mehrani, Zhiqian Chen, Yifan Wu, Zhixin Zhang |
| 2024 | AAAI | Graph Bayesian Optimization for Multiplex Influence Maximization. | Zirui Yuan, Minglai Shao, Zhiqian Chen |
| 2024 | AAAI | Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. | Zonghan Zhang, Zijian Zhang, Zhiqian Chen |
| 2024 | CIKM | Unifying Spectral and Spatial Graph Neural Networks. | Zhiqian Chen, Lei Zhang, Liang Zhao |
| 2024 | IJCAI | A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq. | Yaya Zhao, Kaiqi Zhao, Zhiqian Chen, Yuanyuan Zhang, Yalei Du, Xiaoling Lu |
| 2024 | ICTAI | Neural Tangent Bayesian Optimization for Accurate and Efficient Influence Maximization. | Zijian Zhang, Zonghan Zhang, Zhiqian Chen |
| 2024 | PAKDD | GraphNILM: A Graph Neural Network for Energy Disaggregation. | Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu |
| 2023 | AAAI | Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. | Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu |
| 2023 | CIBCB | Towards Optimal Microbiome to Inhibit Multidrug Resistance. | Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar |
| 2023 | ICDM | Infinitely Deep Graph Transformation Networks. | Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao |
| 2023 | IROS | Weakly Supervised Referring Expression Grounding via Dynamic Self-Knowledge Distillation. | Jinpeng Mi, Zhiqian Chen, Jianwei Zhang |
| 2023 | SDM | Understanding Influence Maximization via Higher-Order Decomposition. | Zonghan Zhang, Zhiqian Chen |
| 2022 | AAAI | Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). | Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen |
| 2022 | AAAI | Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). | Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu |
| 2022 | AAAI | Blocking Influence at Collective Level with Hard Constraints (Student Abstract). | Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen |
| 2022 | AAAI | From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). | Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao |
| 2021 | AAAI | Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. | Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu |
| 2021 | PIMRC | On the Mean Local Delay of Clustered Fog Radio Access Networks. | Yanan Zheng, Haonan Hu, Zhiqian Chen, Bo Yin, Jie Zhang |
| 2020 | AAAI | Geospatial Clustering for Balanced and Proximal Schools. | Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan |
| 2020 | DATE | Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. | Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao |
| 2020 | EMNLP | Towards More Accurate Uncertainty Estimation In Text Classification. | Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu |
| 2019 | IJCAI | Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. | Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan |
| 2018 | ICDM | Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. | Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu |
| 2018 | IJCAI | Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. | Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu |
| 2017 | ICDM | Learning to Fuse Music Genres with Generative Adversarial Dual Learning. | Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu |
| 2017 | IJCAI | Multimodal Storytelling via Generative Adversarial Imitation Learning. | Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu |
| 2013 | ICTAI | Detecting Impolite Crawler by Using Time Series Analysis. | Zhiqian Chen, Wenya Feng |